class_docstr: Generate views by applying a sequence of transformations (augmentations) on 
  given batched graphs. Class objects callable via method :meth:`views_fn`.
  
  Args:
      fn_sequence (list): A list of callable view generation functions (classes).
code: def __call__(self, data):
      return self.views_fn(data)
  
file_path: DIG/dig/sslgraph/method/contrastive/views_fn/combination.py
imports: import random
  from torch_geometric.data import Batch
label_desc: Use image node_id 2 for calling the Sequential obj's underlying member method code with example usage: obj.__call__(data) and returns: self